3 papers
physics.data-an2025
Linear scaling causal discovery from high-dimensional time series by dynamical community detection
Matteo Allione, Vittorio Del Tatto, Alessandro Laio
Understanding which parts of a dynamical system cause each other is extremely relevant in fundamental and applied sciences. However, inferring causal links from observational data,…
physics.chem-ph2025
Towards a robust approach to infer causality in molecular systems satisfying detailed balance
Vittorio Del Tatto, Debarshi Banerjee, Ali Hassanali +1
The ability to distinguish between correlation and causation of variables in molecular systems remains an interesting and open area of investigation. In this work, we probe causali…
cs.LG2024
Automatic feature selection and weighting in molecular systems using Differentiable Information Imbalance
Romina Wild, Felix Wodaczek, Vittorio Del Tatto +2
Feature selection is essential in the analysis of molecular systems and many other fields, but several uncertainties remain: What is the optimal number of features for a simplified…